mloss.org Epistatic MAP Imputationhttp://mloss.orgUpdates and additions to Epistatic MAP ImputationenThu, 25 Nov 2010 21:01:10 -0000Epistatic MAP Imputation 1.1http://mloss.org/software/view/284/<html><p>Epistatic miniarray profiles (E-MAPs) are a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The datasets resulting from E-MAP experiments typically take the form of a symmetric pairwise matrix of interaction scores. These datasets have a significant number of missing values - up to 35% - that can reduce the effectiveness of some data analysis techniques and prevent the use of others.
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<p>This project contains nearest neighbor based tools for the imputation and prediction of these missing values. The code is implemented in Python and uses a nearest neighbor based approach. Two variants are used - a simple weighted nearest neighbors, and a least squares based regression.
</p></html>Colm RyanThu, 25 Nov 2010 21:01:10 -0000http://mloss.org/software/rss/comments/284http://mloss.org/software/view/284/bioinformaticsnearest neighborsgenetic interactionsimputationnetworksprediction